Some approaches to solving the problem of environ-mental pollution are based on bioremediation and phy-toremediation of contaminated aquatic ecosystems.Many ecological processes causing self-purification ofwater in ecosystems were reviewed in the precedingworks [1, 2]. The aggregate of these processes consti-tutes a system of remediation (self-purification). To acertain extent, the importance of the processes of eco-logical remediation in natural ecosystems is compara-ble with that of the processes of repair, which take placeat the molecular genetic level. Indeed, the processes ofthe two types facilitate stabilization of biological sys-tems. The aggregate of natural processes of ecologicalremediation includes water filtration by hydrobionts,activity of microbial destructors of pollutants, and otherphenomena [1, 2].There are many publications on the identification,analysis, and classification of dangerous anthropogenicimpacts on organisms, populations, ecosystems, andthe biosphere [3–11].The goal of this work was to identify and character-ize essential elements of a new type of ecological haz-ard of chemical pollution of water, which includes inhi-bition of important processes of ecological remediationof ecosystems (water filtration by hydrobionts). Thefirst steps in this direction were made in [1, 7, 8].The effects of some synthetic washing mixtures(SWMs) on the filtration activity of various bivalvemollusks were studied in this work to provide a deeperinsight into the mechanisms of anthropogenic impact ofmixed chemical preparations.Experiments were performed using mollusks (oys-ters), Crassostrea gigas Thunberg, and a cell suspen-sion of Saccharomyces cerevisiae [7]. Mollusks wereobtained from the Department of Mariculture, Instituteof Biology of Southern Seas, National Academy of Sci-ences of Ukraine. The experimental procedure wasdescribed in more detail in [7]. The SWM Lanza-Automat was tested. This washing mixture includessurfactants, water softeners, enzymes, optical bleachpowder, and odorants. Lanza-Automat is produced byBenckiser.Mollusks were incubated in water at 23.4 ° C. Theoptical density (OD) of the cell suspension was simul-taneously measured in three variants (A, B, and C).Two variants (B and C) were control. The cells of S. cerevisiae were uptaken from water by mollusks dur-ing biological filtration. This caused a decrease in ODof the suspension of algae in the experimental tank con-taining mussels. The initial concentration of the S. cer-evisiae cells added to all tanks (A, B, and C) was thesame (100 mg dry weight per l). The volume of seawa-ter (from the Bay of Sevastopol, the Black Sea) in eachtank was 500 ml. Mollusks were placed in tanks A andB (ten specimens in each). The overall wet weight ofoysters (with shell) in tanks A and B was 52.6 and49.0 g, respectively. The mean weight of one specimenin tanks A and B was 5.26 and 4.9 g, respectively. TankA contained mollusks, cells of S. cerevisiae , and SWM(20 mg/l). Tank B contained mollusks and a suspensionof the S. cerevisiae cells but did not contain SWM. TankC contained only the suspension of S. cerevisiae with-out oysters and SWM. Optical density was measured at550 nm (optical path length, 10 mm) using an SF-26LOMO spectrophotometer. Spectrophotometric read-ings were rounded off to the second decimal place.During the experiment, the process of water filtra-tion by oysters caused a decrease in the value of OD invariant A (in the presence of SWM) from 0.27 to 0.15(Table 1). Under otherwise identical conditions in vari-ant B (with mollusks but without SWM; control 1),there was a decrease in the value of OD from 0.18 to0.08. Therefore, the rate of medium turbidity decreasein the presence of SWM in the incubation medium wassignificantly lower than in control 1 (variant B). In theabsence of mollusks (variant C), the optical density ofthe cell suspension remained almost invariable duringthe experiment (variant C (control 2) in Table 1).The value of the effect on elimination efficiency(EEE) was calculated to obtain quantitative estimatesof the extent of influence of chemicals on the rate of fil-tration and elimination of particles from water [7]. Thevalue of EEE depended on the experiment duration and